PhytoIntelligence v3.4: Multivariate R&D Framework & Gemini Custom Gem Workflow Specification
### PhytoIntelligence v3.4.0 — Academic & Computational R&D Specification
Unfreeze the power of AI-driven literature synthesis. This technical user guide details a formal **Multivariate R&D Framework for Forensic Pharmacology Specification**, engineered explicitly to run within advanced Large Language Models (LLMs) like Gemini.
This version features a rigorous 9-fault correction delta over previous iterations, eliminating mathematical redundancies and log singularities to provide a truly deterministic framework.
#### What You Are Acquiring:
* **The 12-Step Advanced Epistemic Sequence:** A sequentially dependent research pipeline incorporating a mandatory Confidence Tier pre-screen and an automated Safety Interaction Gate.
* **Corrected Computational Models:** Complete mathematical specifications for the Compound Efficacy Score, the full 6x6 pairwise Network Synergy Index, the Pharmacokinetic Alignment Score, and the Safety Interaction Index.
* **The 6-Dimensional Diagnostic State Vector (DSV):** The analytical core mapping candidate compounds across six orthogonal biological dimensions to determine precise node placement.
* **Stoichiometric Architecture & CWMA Algorithm:** The formal CES-Weighted Mass Allocation algorithm that algorithmically derives final node masses for a 750 mg capsule payload.
* **Gemini Custom Gem Deployment Guide:** Precise operational prompts and workflow steps to initialize, load, and execute this framework natively inside a custom Gemini Gem.
#### ⚠ MANDATORY RESEARCH DISCLOSURE & LEGAL NOTICE
PhytoIntelligence 3.4 is a theoretical, computational research hypothesis and methodology framework intended for research and development use only. No formulation described or modeled herein has undergone clinical validation, safety testing, or regulatory review. All performance projections are derived from literature deconvolution of published data and are subject to the limitations of in vitro and in vivo-to-human translational uncertainty.
This document does not constitute medical advice. No compound stack produced by this framework should be administered to humans or animals without independent qualified clinical oversight, IRB approval, and applicable regulatory compliance. All epistemic claims are subject to the 1=1=1 Law: a hypothesis remains a hypothesis until independently validated—no more, no less.